
Flai
Classify large point cloud data in minutes

Description
Flai provides an advanced platform utilizing artificial intelligence for point cloud classification. It processes large LiDAR datasets quickly, minimizing manual effort to derive meaningful insights from raw data. The system includes pre-trained models covering numerous semantic classes and offers tools for further data manipulation and generation of various deliverables.
The platform offers flexible deployment, available as a cloud-based Software as a Service (SaaS) via the Flai web application or as a self-hosted solution for enhanced data security within an organization's network. It supports various industries by providing tailored processing and classification capabilities to turn complex 3D data into practical outcomes.
Key Features
- AI Point Cloud Classification: Utilize 4 pre-trained AI models with over 40 semantic classes for fast and quality classification.
- Advanced Data Processing: Access a modular toolset with 40+ processors for point cloud manipulation and generating raster/vector deliverables.
- Custom AI Classifiers: Train tailor-made classifiers to extract specific, custom features from point cloud data.
- Flexible Deployment Options: Choose between cloud-based SaaS processing or a self-hosted solution for local deployment.
- Pay Per Download Model: Process data for free and pay using Processing Units (PUs) only when downloading results (available in paid tiers).
Use Cases
- Processing large point cloud datasets for Wide Area Mapping
- Analyzing LiDAR data for Forestry applications (e.g., inventory, health)
- Monitoring vegetation and assets for Power Line corridors
- Handling data from Mobile Mapping systems for infrastructure analysis
- Point cloud analysis for Mining operations (e.g., volume calculation, site monitoring)
- Supporting Defence and Security applications with classified 3D data
- Damage assessment mapping post-disaster
- Improving project profitability and turnaround for UAV, Aerial, and Mobile Surveys
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